Global Capital Markets – Leveraged Finance AI Solutions Architect job opportunity at Morgan Stanley.

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DateMore Than 30 Days Ago bot
Morgan Stanley Global Capital Markets – Leveraged Finance AI Solutions Architect
Experience: 5-years
Pattern: full-time
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degreeAssociate
loacation New York, New York, United States of America, United States Of America
loacation New York, New ..........United States Of America

The Leveraged Finance (‘Lev Fin’) group sits within Global Capital Markets (‘GCM’) and focuses on providing comprehensive and innovative financing advice to financial sponsors and non-investment grade corporate issuers across industries. This includes advising clients on optimal capital structure, underwriting financing packages, negotiating terms and documentation, advising on execution considerations and distribution to the institutional syndicated market or private capital markets. Lev Fin offers a mix of products (High Yield Bonds, Leveraged Loans, Private Credit) which help our clients facilitate LBO (‘Leveraged Buyout’) and M&A transactions, repurchase shares, refinance existing debt as well as provide them with working capital and liquidity. The Lev Fin group is made up of Capital Markets, industry coverage, and private credit advisory. In addition to interacting with corporate and sponsor clients and investment banking, Lev Fin works closely with sales and trading and Leveraged Finance investors. Our New York office is looking for an AI Solutions Architect to join the Leveraged Finance Capital Markets team. Primary Responsibilities: ▪Assess current workflows across leveraged finance and identify areas for improvement using AI and automation ▪Design and implement AI solutions that streamline manual tasks, enhance data processing, and reduce turnaround times ▪Collaborate with stakeholders to understand operational pain points and translate them into scalable AI applications ▪Integrate AI into internal platforms to support ad hoc and routine reporting ▪Drive adoption of AI across the team through training, demos, and hands-on support Qualifications: ▪Bachelor or Master degree in Computer Science, Engineering, Data Science, or a related field ▪5+ years of experience in cloud solutions, with at least 3 years focused on AI/ML and 1+ year specifically on Generative AI ▪Experience building AI powered applications with real world impact (chatbots, summarizers, copilots, etc.) ▪Deep understanding of AWS services (e.g., Bedrock, EC2, Lambda, SageMaker) ▪Familiarity with LLMs (e.g., Claude, Titan, GPT, LLaMA) and prompt engineering techniques ▪Exceptional communication and presentation skills ▪Proven ability to succeed in a highly interactive environment where close team engagement and real-time collaboration are essential WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $150,000 and $225,000 per year for Associate, and $275,000 per year for VP, at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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